Overview

Dataset statistics

Number of variables20
Number of observations1000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory156.4 KiB
Average record size in memory160.1 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:14:14.489112
Analysis finished2020-08-25 00:15:23.217712
Duration1 minute and 8.73 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz5 is highly correlated with oz3High correlation
oz3 is highly correlated with oz5High correlation
oz9 has unique values Unique
oz17 has unique values Unique
oz1 has unique values Unique
oz24 has unique values Unique
oz12 has unique values Unique
oz10 has unique values Unique
oz14 has unique values Unique
oz2 has unique values Unique
oz23 has unique values Unique
oz6 has unique values Unique
oz3 has unique values Unique
oz13 has unique values Unique
oz16 has unique values Unique
oz4 has unique values Unique
oz5 has unique values Unique
oz21 has unique values Unique
oz18 has unique values Unique
oz22 has unique values Unique
oz19 has unique values Unique
target has unique values Unique

Variables

oz9
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1702068141161704e-09
Minimum-1.7091244459152222
Maximum1.7265959978103638
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:23.264132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.709124446
5-th percentile-1.545589489
Q1-0.9076705724
median0.01763574407
Q30.8337011188
95-th percentile1.554003906
Maximum1.726595998
Range3.435720444
Interquartile range (IQR)1.741371691

Descriptive statistics

Standard deviation0.9999999992
Coefficient of variation (CV)854549800.2
Kurtosis-1.243795293
Mean1.170206814e-09
Median Absolute Deviation (MAD)0.8585441001
Skewness-0.004677299862
Sum1.170206814e-06
Variance0.9999999984
2020-08-25T00:15:23.369288image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.144049748810.1%
 
-1.43085622810.1%
 
1.41137647610.1%
 
0.789453744910.1%
 
0.555294156110.1%
 
-0.997441172610.1%
 
1.07542574410.1%
 
0.123121969410.1%
 
-1.64573085310.1%
 
0.090323038410.1%
 
0.868670582810.1%
 
-0.385061323610.1%
 
-0.0133454101210.1%
 
-1.43477225310.1%
 
-0.618539750610.1%
 
0.445665419110.1%
 
-0.413786381510.1%
 
1.1629122510.1%
 
-1.67072761110.1%
 
0.662681460410.1%
 
0.304972171810.1%
 
0.744707465210.1%
 
-0.658768713510.1%
 
0.175922527910.1%
 
1.03628468510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.70912444610.1%
 
-1.70695364510.1%
 
-1.70674133310.1%
 
-1.70660960710.1%
 
-1.70318055210.1%
 
-1.70281469810.1%
 
-1.69763660410.1%
 
-1.69483637810.1%
 
-1.69028484810.1%
 
-1.68368625610.1%
 
ValueCountFrequency (%) 
1.72659599810.1%
 
1.72334849810.1%
 
1.71609735510.1%
 
1.7125401510.1%
 
1.71193671210.1%
 
1.71084284810.1%
 
1.70958566710.1%
 
1.70580518210.1%
 
1.69422161610.1%
 
1.69392895710.1%
 

oz17
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.066410034894944e-10
Minimum-1.7898598909378052
Maximum1.61495041847229
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:23.486207image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.789859891
5-th percentile-1.616262645
Q1-0.8665656596
median0.04535459355
Q30.8852775097
95-th percentile1.483407235
Maximum1.614950418
Range3.404810309
Interquartile range (IQR)1.751843169

Descriptive statistics

Standard deviation0.9999999986
Coefficient of variation (CV)-1415145730
Kurtosis-1.207747822
Mean-7.066410035e-10
Median Absolute Deviation (MAD)0.8822132237
Skewness-0.09964684709
Sum-7.066410035e-07
Variance0.9999999972
2020-08-25T00:15:23.594965image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.585936784710.1%
 
0.537768602410.1%
 
-1.66933667710.1%
 
1.09510862810.1%
 
-0.559272050910.1%
 
-1.21619665610.1%
 
1.20056939110.1%
 
-0.275727689310.1%
 
-1.00246727510.1%
 
0.959657013410.1%
 
1.19274795110.1%
 
0.537777781510.1%
 
-1.58276665210.1%
 
0.964192390410.1%
 
0.29536375410.1%
 
0.567064523710.1%
 
0.307340741210.1%
 
1.61459553210.1%
 
0.152018934510.1%
 
-1.31380474610.1%
 
-0.783890008910.1%
 
-0.999352216710.1%
 
-1.43238198810.1%
 
0.920567274110.1%
 
0.0095315575610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.78985989110.1%
 
-1.78872358810.1%
 
-1.78817844410.1%
 
-1.7837104810.1%
 
-1.78166627910.1%
 
-1.78050291510.1%
 
-1.77851021310.1%
 
-1.77702653410.1%
 
-1.7674853810.1%
 
-1.76691269910.1%
 
ValueCountFrequency (%) 
1.61495041810.1%
 
1.61470341710.1%
 
1.61459553210.1%
 
1.61248946210.1%
 
1.60890495810.1%
 
1.60764777710.1%
 
1.60753500510.1%
 
1.60532689110.1%
 
1.59883880610.1%
 
1.59722554710.1%
 

oz1
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7188722267746924e-10
Minimum-2.5551400184631348
Maximum2.2567033767700195
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:23.716349image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.555140018
5-th percentile-1.61275357
Q1-0.7629166394
median0.02639124356
Q30.7607808709
95-th percentile1.626128101
Maximum2.256703377
Range4.811843395
Interquartile range (IQR)1.52369751

Descriptive statistics

Standard deviation0.9999999989
Coefficient of variation (CV)-5817768088
Kurtosis-0.7940575302
Mean-1.718872227e-10
Median Absolute Deviation (MAD)0.7758797705
Skewness-0.01435532811
Sum-1.718872227e-07
Variance0.9999999978
2020-08-25T00:15:23.819179image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.20702791210.1%
 
0.0501856394110.1%
 
-1.48571884610.1%
 
-0.447462767410.1%
 
1.59118354310.1%
 
1.06774473210.1%
 
-1.0794593110.1%
 
0.991522729410.1%
 
1.1816277510.1%
 
1.53257501110.1%
 
-0.298182070310.1%
 
-0.759691059610.1%
 
-0.271157532910.1%
 
1.88802444910.1%
 
-0.394732564710.1%
 
-0.623696267610.1%
 
0.856083333510.1%
 
-0.0326332077410.1%
 
-1.35618424410.1%
 
0.898207187710.1%
 
-1.07549095210.1%
 
-1.15752112910.1%
 
0.621727287810.1%
 
-0.598289310910.1%
 
1.29360294310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-2.55514001810.1%
 
-2.38488221210.1%
 
-2.31691193610.1%
 
-2.27156829810.1%
 
-2.20075035110.1%
 
-2.15039086310.1%
 
-2.1111359610.1%
 
-2.09484744110.1%
 
-2.09262919410.1%
 
-2.07489800510.1%
 
ValueCountFrequency (%) 
2.25670337710.1%
 
2.2372033610.1%
 
2.19139385210.1%
 
2.14460301410.1%
 
2.08742809310.1%
 
2.05259704610.1%
 
2.04643559510.1%
 
2.00977373110.1%
 
1.99680435710.1%
 
1.96630668610.1%
 

oz24
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.2185191735625268e-09
Minimum-1.6918481588363647
Maximum1.7949206829071045
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:23.931064image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.691848159
5-th percentile-1.520160449
Q1-0.8133241385
median-0.0782186687
Q30.8777069151
95-th percentile1.602382386
Maximum1.794920683
Range3.486768842
Interquartile range (IQR)1.691031054

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-820668252.9
Kurtosis-1.162525037
Mean-1.218519174e-09
Median Absolute Deviation (MAD)0.8380942047
Skewness0.1197706103
Sum-1.218519174e-06
Variance1.000000003
2020-08-25T00:15:24.039141image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.484695911410.1%
 
1.37236726310.1%
 
1.1966422810.1%
 
-1.20833396910.1%
 
-1.23570072710.1%
 
-1.4947700510.1%
 
-1.28256881210.1%
 
1.79038059710.1%
 
-1.25131380610.1%
 
1.61458814110.1%
 
-0.121175259410.1%
 
0.215005844810.1%
 
-0.799474239310.1%
 
1.06769454510.1%
 
-0.39875876910.1%
 
1.0285257110.1%
 
0.600214362110.1%
 
-1.31375896910.1%
 
-1.2043808710.1%
 
-0.537151634710.1%
 
-0.688123464610.1%
 
0.883432626710.1%
 
-1.44264614610.1%
 
1.60223579410.1%
 
-0.573511004410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.69184815910.1%
 
-1.6903463610.1%
 
-1.68886959610.1%
 
-1.68466484510.1%
 
-1.67598938910.1%
 
-1.670937310.1%
 
-1.6695758110.1%
 
-1.66247618210.1%
 
-1.65714001710.1%
 
-1.65713751310.1%
 
ValueCountFrequency (%) 
1.79492068310.1%
 
1.79038059710.1%
 
1.78532457410.1%
 
1.78178393810.1%
 
1.77835583710.1%
 
1.77727425110.1%
 
1.77630281410.1%
 
1.77385377910.1%
 
1.77264535410.1%
 
1.77254152310.1%
 

oz12
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8184225559234617e-10
Minimum-1.7682948112487793
Maximum1.707430362701416
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:24.159321image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.768294811
5-th percentile-1.622259974
Q1-0.8537342995
median0.07956692204
Q30.8416779041
95-th percentile1.543439567
Maximum1.707430363
Range3.475725174
Interquartile range (IQR)1.695412204

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)2618882499
Kurtosis-1.16692867
Mean3.818422556e-10
Median Absolute Deviation (MAD)0.8349296153
Skewness-0.07412461235
Sum3.818422556e-07
Variance1.000000001
2020-08-25T00:15:24.263142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.53938317310.1%
 
1.61593174910.1%
 
-0.253221213810.1%
 
-1.420551310.1%
 
1.10719752310.1%
 
-0.524085044910.1%
 
1.03644943210.1%
 
0.610660493410.1%
 
1.34112238910.1%
 
-0.348952233810.1%
 
1.60283756310.1%
 
1.22002375110.1%
 
-1.65751600310.1%
 
-1.41923224910.1%
 
-0.787700235810.1%
 
0.125156149310.1%
 
0.268187969910.1%
 
-0.23013587310.1%
 
-1.71217834910.1%
 
1.53638362910.1%
 
-0.895142197610.1%
 
0.373351693210.1%
 
-1.26684272310.1%
 
-0.811153411910.1%
 
1.30589687810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.76829481110.1%
 
-1.76431262510.1%
 
-1.7635097510.1%
 
-1.76308596110.1%
 
-1.75777125410.1%
 
-1.75658154510.1%
 
-1.75392532310.1%
 
-1.7515407810.1%
 
-1.7511594310.1%
 
-1.74189460310.1%
 
ValueCountFrequency (%) 
1.70743036310.1%
 
1.70620608310.1%
 
1.70600855410.1%
 
1.70468175410.1%
 
1.70446610510.1%
 
1.70234835110.1%
 
1.69123756910.1%
 
1.68258523910.1%
 
1.67252349910.1%
 
1.67187571510.1%
 

oz10
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.0228686733171343e-09
Minimum-1.7800153493881226
Maximum1.7349809408187866
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:24.377965image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.780015349
5-th percentile-1.585181278
Q1-0.840302825
median0.01127766469
Q30.87409316
95-th percentile1.559161174
Maximum1.734980941
Range3.51499629
Interquartile range (IQR)1.714395985

Descriptive statistics

Standard deviation0.9999999991
Coefficient of variation (CV)-977642609.7
Kurtosis-1.160588907
Mean-1.022868673e-09
Median Absolute Deviation (MAD)0.8619876613
Skewness-0.03560514297
Sum-1.022868673e-06
Variance0.9999999982
2020-08-25T00:15:24.483305image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.319335192410.1%
 
-0.472001552610.1%
 
-1.102675210.1%
 
1.58461284610.1%
 
0.146750122310.1%
 
1.36069512410.1%
 
-1.44272601610.1%
 
-1.02865612510.1%
 
1.52083909510.1%
 
1.71801054510.1%
 
1.15755164610.1%
 
1.59079194110.1%
 
1.07142174210.1%
 
0.496416896610.1%
 
1.14972794110.1%
 
0.942047476810.1%
 
-1.40110623810.1%
 
-0.824979305310.1%
 
-1.3367606410.1%
 
0.0930969417110.1%
 
-0.58852261310.1%
 
-1.11063599610.1%
 
-0.809223055810.1%
 
0.639299511910.1%
 
0.294488072410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.78001534910.1%
 
-1.7788528210.1%
 
-1.77290630310.1%
 
-1.76809811610.1%
 
-1.76725363710.1%
 
-1.76168143710.1%
 
-1.76160633610.1%
 
-1.75874924710.1%
 
-1.75506353410.1%
 
-1.75197565610.1%
 
ValueCountFrequency (%) 
1.73498094110.1%
 
1.7344609510.1%
 
1.73070144710.1%
 
1.73055708410.1%
 
1.72609162310.1%
 
1.72603106510.1%
 
1.72514855910.1%
 
1.72428429110.1%
 
1.72375917410.1%
 
1.72311401410.1%
 

oz14
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.420312613248825e-10
Minimum-1.7860796451568604
Maximum1.7264776229858398
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:24.600026image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.786079645
5-th percentile-1.612955821
Q1-0.8345384002
median0.02667809278
Q30.8715783507
95-th percentile1.589298803
Maximum1.726477623
Range3.512557268
Interquartile range (IQR)1.706116751

Descriptive statistics

Standard deviation0.9999999986
Coefficient of variation (CV)-1347652115
Kurtosis-1.144651833
Mean-7.420312613e-10
Median Absolute Deviation (MAD)0.8540732265
Skewness-0.03128277685
Sum-7.420312613e-07
Variance0.9999999972
2020-08-25T00:15:24.706106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.141112953410.1%
 
-0.430602520710.1%
 
-1.34136760210.1%
 
1.23959279110.1%
 
1.28646302210.1%
 
0.175688967110.1%
 
0.928384900110.1%
 
1.13411283510.1%
 
1.27864074710.1%
 
-0.879553794910.1%
 
-0.670929670310.1%
 
1.16915738610.1%
 
1.3216015110.1%
 
-0.602203369110.1%
 
-1.55152487810.1%
 
0.715480089210.1%
 
-1.20973110210.1%
 
1.32158303310.1%
 
-0.794590473210.1%
 
1.69657933710.1%
 
-0.71352171910.1%
 
0.840679526310.1%
 
-1.0182753810.1%
 
-1.13406622410.1%
 
-0.756485283410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.78607964510.1%
 
-1.78297865410.1%
 
-1.78210222710.1%
 
-1.78194487110.1%
 
-1.77881932310.1%
 
-1.77812004110.1%
 
-1.75911366910.1%
 
-1.75609874710.1%
 
-1.75322055810.1%
 
-1.74676895110.1%
 
ValueCountFrequency (%) 
1.72647762310.1%
 
1.725109110.1%
 
1.72369086710.1%
 
1.72165679910.1%
 
1.71895909310.1%
 
1.71733629710.1%
 
1.71325099510.1%
 
1.7125612510.1%
 
1.71199476710.1%
 
1.70613777610.1%
 

oz2
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.773058655098254e-10
Minimum-1.7535781860351562
Maximum1.7743499279022217
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:24.821732image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.753578186
5-th percentile-1.564563793
Q1-0.8548478633
median0.03358074464
Q30.8724515736
95-th percentile1.558974671
Maximum1.774349928
Range3.527928114
Interquartile range (IQR)1.727299437

Descriptive statistics

Standard deviation0.9999999994
Coefficient of variation (CV)-1139853315
Kurtosis-1.183570206
Mean-8.773058655e-10
Median Absolute Deviation (MAD)0.8522875365
Skewness-0.02662035919
Sum-8.773058655e-07
Variance0.9999999988
2020-08-25T00:15:25.079722image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.023546110.1%
 
1.43874812110.1%
 
-1.32941877810.1%
 
0.713535964510.1%
 
-0.770175397410.1%
 
1.53777563610.1%
 
-1.71612191210.1%
 
-1.3302493110.1%
 
1.48173904410.1%
 
-0.152014046910.1%
 
1.10673475310.1%
 
-1.24735510310.1%
 
0.180994957710.1%
 
0.825543999710.1%
 
-1.25013804410.1%
 
1.24259984510.1%
 
0.0488653294710.1%
 
-1.08718097210.1%
 
0.676400244210.1%
 
-0.0658057406510.1%
 
-1.39966881310.1%
 
-1.07298994110.1%
 
1.02539229410.1%
 
1.37425589610.1%
 
-1.10668420810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75357818610.1%
 
-1.74815094510.1%
 
-1.7443116910.1%
 
-1.74138367210.1%
 
-1.74101114310.1%
 
-1.73595929110.1%
 
-1.72850251210.1%
 
-1.72498118910.1%
 
-1.71727347410.1%
 
-1.71612191210.1%
 
ValueCountFrequency (%) 
1.77434992810.1%
 
1.76014304210.1%
 
1.75931000710.1%
 
1.75520682310.1%
 
1.7550988210.1%
 
1.75299584910.1%
 
1.74773347410.1%
 
1.74631404910.1%
 
1.74260413610.1%
 
1.74000871210.1%
 

oz23
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.089126251637936e-11
Minimum-1.7151991128921509
Maximum1.718555927276611
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:25.194275image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.715199113
5-th percentile-1.564842629
Q1-0.8692733347
median-0.02340521198
Q30.8777119368
95-th percentile1.549562234
Maximum1.718555927
Range3.43375504
Interquartile range (IQR)1.746985272

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)1.100215766e+10
Kurtosis-1.210289126
Mean9.089126252e-11
Median Absolute Deviation (MAD)0.8716894984
Skewness0.01689974521
Sum9.089126252e-08
Variance1.000000001
2020-08-25T00:15:25.300035image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.16015601210.1%
 
1.49343144910.1%
 
1.38167142910.1%
 
-0.36718177810.1%
 
-0.901033461110.1%
 
-0.385571479810.1%
 
1.41533374810.1%
 
-0.0355621054810.1%
 
-1.00517284910.1%
 
0.877586185910.1%
 
-1.38407123110.1%
 
0.606095492810.1%
 
-0.918594479610.1%
 
0.904921889310.1%
 
-1.05735610.1%
 
-1.52077209910.1%
 
1.06520497810.1%
 
0.390934556710.1%
 
0.00923720002210.1%
 
0.351869732110.1%
 
-0.12564073510.1%
 
-0.466650575410.1%
 
-0.926109135210.1%
 
-1.36317741910.1%
 
-1.14573812510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71519911310.1%
 
-1.71368145910.1%
 
-1.7101761110.1%
 
-1.70628845710.1%
 
-1.70525085910.1%
 
-1.70358884310.1%
 
-1.69948399110.1%
 
-1.69889807710.1%
 
-1.69782650510.1%
 
-1.69111883610.1%
 
ValueCountFrequency (%) 
1.71855592710.1%
 
1.71471214310.1%
 
1.71141684110.1%
 
1.70788621910.1%
 
1.70398902910.1%
 
1.69991934310.1%
 
1.69879078910.1%
 
1.69542229210.1%
 
1.69185888810.1%
 
1.68932914710.1%
 

oz6
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.008171880480859e-10
Minimum-1.7579870223999023
Maximum1.7042186260223389
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:25.418155image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.757987022
5-th percentile-1.585394162
Q1-0.8706553876
median0.04484848492
Q30.8319459409
95-th percentile1.529417562
Maximum1.704218626
Range3.462205648
Interquartile range (IQR)1.702601328

Descriptive statistics

Standard deviation0.9999999978
Coefficient of variation (CV)3324278125
Kurtosis-1.204191745
Mean3.00817188e-10
Median Absolute Deviation (MAD)0.8569715917
Skewness-0.0541623987
Sum3.00817188e-07
Variance0.9999999955
2020-08-25T00:15:25.524280image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.685546815410.1%
 
1.64189660510.1%
 
0.885681390810.1%
 
-1.65365278710.1%
 
-0.421225160410.1%
 
1.07291364710.1%
 
-0.68033969410.1%
 
1.30598950410.1%
 
-0.545571148410.1%
 
0.516272902510.1%
 
0.878426909410.1%
 
0.0435334108810.1%
 
1.07940471210.1%
 
0.500387847410.1%
 
-1.04016637810.1%
 
0.85024046910.1%
 
-0.802003860510.1%
 
0.735005199910.1%
 
-0.97914475210.1%
 
1.40729665810.1%
 
0.832593202610.1%
 
-0.0591207779910.1%
 
0.280583828710.1%
 
0.18267485510.1%
 
-1.07547903110.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75798702210.1%
 
-1.75508654110.1%
 
-1.75331306510.1%
 
-1.74226224410.1%
 
-1.74076890910.1%
 
-1.73747754110.1%
 
-1.7320336110.1%
 
-1.73197352910.1%
 
-1.72722828410.1%
 
-1.72019028710.1%
 
ValueCountFrequency (%) 
1.70421862610.1%
 
1.70295679610.1%
 
1.69503486210.1%
 
1.69400274810.1%
 
1.6931595810.1%
 
1.69056534810.1%
 
1.68941247510.1%
 
1.68129026910.1%
 
1.68068587810.1%
 
1.67299294510.1%
 

oz3
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4144689770320156e-10
Minimum-2.433859348297119
Maximum3.1482219696044917
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:25.640435image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.433859348
5-th percentile-1.354070961
Q1-0.7329102606
median-0.1931013688
Q30.5776323229
95-th percentile1.903680986
Maximum3.14822197
Range5.582081318
Interquartile range (IQR)1.310542583

Descriptive statistics

Standard deviation0.9999999993
Coefficient of variation (CV)2265278122
Kurtosis0.1511728407
Mean4.414468977e-10
Median Absolute Deviation (MAD)0.6327495724
Skewness0.6945530755
Sum4.414468977e-07
Variance0.9999999986
2020-08-25T00:15:25.740539image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.650390386610.1%
 
-0.584612250310.1%
 
1.55991315810.1%
 
-1.01041364710.1%
 
-0.00520829763310.1%
 
-0.144659355310.1%
 
-0.239801108810.1%
 
-1.33589434610.1%
 
-0.145667225110.1%
 
0.247229263210.1%
 
0.891260147110.1%
 
-0.731103777910.1%
 
-1.40361225610.1%
 
-0.809225916910.1%
 
-0.184727415410.1%
 
2.99299764610.1%
 
1.21858096110.1%
 
-0.191561892610.1%
 
0.368145346610.1%
 
-0.186323806610.1%
 
1.80982577810.1%
 
-0.320619314910.1%
 
0.405316710510.1%
 
-0.200836211410.1%
 
1.15746903410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-2.43385934810.1%
 
-2.32344889610.1%
 
-2.10438132310.1%
 
-2.02326011710.1%
 
-1.86090862810.1%
 
-1.79454946510.1%
 
-1.77375459710.1%
 
-1.76414275210.1%
 
-1.67786872410.1%
 
-1.67781925210.1%
 
ValueCountFrequency (%) 
3.1482219710.1%
 
3.10531330110.1%
 
3.07903838210.1%
 
2.99299764610.1%
 
2.92319726910.1%
 
2.8815550810.1%
 
2.86784529710.1%
 
2.86059308110.1%
 
2.85586357110.1%
 
2.82759928710.1%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.168855518102646e-10
Minimum-1.785410761833191
Maximum1.7494343519210815
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:25.850752image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.785410762
5-th percentile-1.600741196
Q1-0.8161581904
median0.01644263882
Q30.8623649776
95-th percentile1.564705014
Maximum1.749434352
Range3.534845114
Interquartile range (IQR)1.678523168

Descriptive statistics

Standard deviation0.9999999991
Coefficient of variation (CV)1394922797
Kurtosis-1.157441711
Mean7.168855518e-10
Median Absolute Deviation (MAD)0.8418521108
Skewness-0.03490543926
Sum7.168855518e-07
Variance0.9999999982
2020-08-25T00:15:25.964680image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.861327648210.1%
 
-1.11985003910.1%
 
-1.51816105810.1%
 
-0.451809287110.1%
 
1.67352509510.1%
 
0.82684880510.1%
 
1.61461484410.1%
 
-0.459489703210.1%
 
-0.498377144310.1%
 
-0.785815477410.1%
 
1.35678517810.1%
 
-0.694014728110.1%
 
-0.647138595610.1%
 
0.144694760410.1%
 
0.0167439915210.1%
 
-0.256184309710.1%
 
0.635392010210.1%
 
1.23567020910.1%
 
-0.755215585210.1%
 
1.14972484110.1%
 
1.37628459910.1%
 
-0.315749168410.1%
 
0.40989708910.1%
 
0.993503928210.1%
 
-0.861963093310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.78541076210.1%
 
-1.78288006810.1%
 
-1.78226828610.1%
 
-1.78047168310.1%
 
-1.78040111110.1%
 
-1.77942955510.1%
 
-1.7784699210.1%
 
-1.77058637110.1%
 
-1.76048159610.1%
 
-1.75640714210.1%
 
ValueCountFrequency (%) 
1.74943435210.1%
 
1.7417472610.1%
 
1.73519086810.1%
 
1.72599482510.1%
 
1.72251045710.1%
 
1.71797716610.1%
 
1.7174006710.1%
 
1.71668541410.1%
 
1.71487593710.1%
 
1.71087992210.1%
 

oz16
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.0617229640483855e-10
Minimum-1.7639926671981812
Maximum1.7372336387634275
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:26.084581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.763992667
5-th percentile-1.582630455
Q1-0.8289741874
median0.01526066568
Q30.8431841731
95-th percentile1.54224025
Maximum1.737233639
Range3.501226306
Interquartile range (IQR)1.67215836

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-3266134833
Kurtosis-1.171434942
Mean-3.061722964e-10
Median Absolute Deviation (MAD)0.8342548907
Skewness-0.02018968653
Sum-3.061722964e-07
Variance1.000000004
2020-08-25T00:15:26.187716image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.317381769410.1%
 
-1.52865862810.1%
 
1.27434039110.1%
 
0.982368111610.1%
 
-0.0444757118810.1%
 
-1.37365496210.1%
 
-1.0325932510.1%
 
1.10680854310.1%
 
-1.50278902110.1%
 
-1.37864136710.1%
 
0.58465105310.1%
 
0.551447093510.1%
 
-0.712830007110.1%
 
0.270838320310.1%
 
-0.988942205910.1%
 
0.401818156210.1%
 
1.07157266110.1%
 
1.27037215210.1%
 
-0.712621808110.1%
 
-1.20386159410.1%
 
0.850259959710.1%
 
0.480371028210.1%
 
0.0284015666710.1%
 
-0.658850312210.1%
 
-1.19660341710.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.76399266710.1%
 
-1.76086044310.1%
 
-1.75923335610.1%
 
-1.75327742110.1%
 
-1.75044333910.1%
 
-1.74592554610.1%
 
-1.74308276210.1%
 
-1.74029755610.1%
 
-1.73617088810.1%
 
-1.72387242310.1%
 
ValueCountFrequency (%) 
1.73723363910.1%
 
1.73429107710.1%
 
1.7313462510.1%
 
1.72965395510.1%
 
1.72391390810.1%
 
1.72332251110.1%
 
1.71986675310.1%
 
1.71961581710.1%
 
1.7178258910.1%
 
1.71504819410.1%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.7741847336292267e-10
Minimum-1.7157348394393919
Maximum1.74717915058136
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:26.302513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.715734839
5-th percentile-1.545119005
Q1-0.8286466599
median-0.01776537765
Q30.8738075495
95-th percentile1.583335012
Maximum1.747179151
Range3.46291399
Interquartile range (IQR)1.702454209

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-2649578839
Kurtosis-1.179272108
Mean-3.774184734e-10
Median Absolute Deviation (MAD)0.8581949128
Skewness0.03485888855
Sum-3.774184734e-07
Variance1.000000001
2020-08-25T00:15:26.407501image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.929686605910.1%
 
-1.46003854310.1%
 
-1.60291814810.1%
 
0.674496829510.1%
 
-0.555518388710.1%
 
0.504572033910.1%
 
1.32679545910.1%
 
0.0658349320310.1%
 
-0.00351211195810.1%
 
-0.570803880710.1%
 
-0.263025015610.1%
 
1.4147590410.1%
 
0.578782498810.1%
 
-1.35287630610.1%
 
1.72280275810.1%
 
-0.579735398310.1%
 
-1.5129505410.1%
 
1.51728379710.1%
 
1.20832979710.1%
 
-0.733069062210.1%
 
-1.47403252110.1%
 
-1.38409769510.1%
 
-0.308913737510.1%
 
0.0514315292210.1%
 
1.02861702410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71573483910.1%
 
-1.71464204810.1%
 
-1.71252071910.1%
 
-1.70986759710.1%
 
-1.70939314410.1%
 
-1.70900845510.1%
 
-1.70890355110.1%
 
-1.70579397710.1%
 
-1.7016414410.1%
 
-1.69744360410.1%
 
ValueCountFrequency (%) 
1.74717915110.1%
 
1.74486124510.1%
 
1.74013483510.1%
 
1.73973429210.1%
 
1.72858655510.1%
 
1.72482967410.1%
 
1.72280275810.1%
 
1.72057557110.1%
 
1.71965217610.1%
 
1.71899187610.1%
 

oz5
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1057127267122268e-09
Minimum-2.1920034885406494
Maximum4.533195972442627
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:26.528013image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.192003489
5-th percentile-1.060379738
Q1-0.7065259367
median-0.3046921194
Q30.4642947614
95-th percentile2.074195051
Maximum4.533195972
Range6.725199461
Interquartile range (IQR)1.170820698

Descriptive statistics

Standard deviation0.9999999976
Coefficient of variation (CV)-904394037.8
Kurtosis1.956425423
Mean-1.105712727e-09
Median Absolute Deviation (MAD)0.4820263982
Skewness1.376454675
Sum-1.105712727e-06
Variance0.9999999952
2020-08-25T00:15:26.635706image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.529295325310.1%
 
-0.651052534610.1%
 
-0.00453720334910.1%
 
-0.30112272510.1%
 
-0.376316338810.1%
 
-0.889786839510.1%
 
-0.174974113710.1%
 
1.06770944610.1%
 
0.871769607110.1%
 
0.832705438110.1%
 
-0.809262335310.1%
 
-0.923696458310.1%
 
0.233225569110.1%
 
-0.0752783790210.1%
 
2.07296681410.1%
 
-0.225198328510.1%
 
0.357938110810.1%
 
-0.0823577940510.1%
 
-0.968341469810.1%
 
-0.231798946910.1%
 
3.93229246110.1%
 
-0.645181775110.1%
 
0.159342125110.1%
 
-0.9869771610.1%
 
-0.901038289110.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-2.19200348910.1%
 
-1.87650537510.1%
 
-1.80475556910.1%
 
-1.6269750610.1%
 
-1.60716760210.1%
 
-1.51366901410.1%
 
-1.49537324910.1%
 
-1.47413241910.1%
 
-1.35734820410.1%
 
-1.35304355610.1%
 
ValueCountFrequency (%) 
4.53319597210.1%
 
4.29646921210.1%
 
3.93229246110.1%
 
3.77226495710.1%
 
3.75569772710.1%
 
3.70822715810.1%
 
3.6867356310.1%
 
3.54398775110.1%
 
3.43857979810.1%
 
3.31214451810.1%
 

oz21
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.994660124182701e-09
Minimum-1.8058867454528809
Maximum1.77444326877594
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:26.754615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.805886745
5-th percentile-1.607232338
Q1-0.8486566246
median0.005410154583
Q30.8289673477
95-th percentile1.548954749
Maximum1.774443269
Range3.580330014
Interquartile range (IQR)1.677623972

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)501338543.6
Kurtosis-1.109243556
Mean1.994660124e-09
Median Absolute Deviation (MAD)0.8391350906
Skewness-0.02205352918
Sum1.994660124e-06
Variance1.000000003
2020-08-25T00:15:26.855803image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.117919862310.1%
 
-0.211095824810.1%
 
0.578778028510.1%
 
-0.768229484610.1%
 
-0.0257160980310.1%
 
0.690101325510.1%
 
0.46110740310.1%
 
-0.621738612710.1%
 
1.59636998210.1%
 
-1.70440769210.1%
 
0.0478125512610.1%
 
-1.2551846510.1%
 
0.015889052310.1%
 
0.51040273910.1%
 
1.24243462110.1%
 
0.5279754410.1%
 
-0.631462335610.1%
 
0.115801379110.1%
 
-0.192025646610.1%
 
-0.934220135210.1%
 
-1.22390222510.1%
 
-1.03639793410.1%
 
-0.951791107710.1%
 
0.158356875210.1%
 
-0.82159066210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.80588674510.1%
 
-1.80297672710.1%
 
-1.79891312110.1%
 
-1.79698240810.1%
 
-1.79595220110.1%
 
-1.79535114810.1%
 
-1.79352974910.1%
 
-1.78784453910.1%
 
-1.77920293810.1%
 
-1.76831400410.1%
 
ValueCountFrequency (%) 
1.77444326910.1%
 
1.77135705910.1%
 
1.76374232810.1%
 
1.75377976910.1%
 
1.74589824710.1%
 
1.74043190510.1%
 
1.74028229710.1%
 
1.73337459610.1%
 
1.73120880110.1%
 
1.72486686710.1%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5972182154655458e-10
Minimum-1.758983135223389
Maximum1.7201541662216189
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:26.973356image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.758983135
5-th percentile-1.607499373
Q1-0.8725294024
median0.06764895469
Q30.8464264572
95-th percentile1.546393543
Maximum1.720154166
Range3.479137301
Interquartile range (IQR)1.71895586

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-6260885273
Kurtosis-1.188716009
Mean-1.597218215e-10
Median Absolute Deviation (MAD)0.8434411809
Skewness-0.0675389284
Sum-1.597218215e-07
Variance1.000000001
2020-08-25T00:15:27.077883image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.839841246610.1%
 
-1.55203342410.1%
 
1.01221287310.1%
 
0.738933086410.1%
 
0.952473819310.1%
 
1.69534695110.1%
 
-1.72917795210.1%
 
0.356878012410.1%
 
-0.224281817710.1%
 
-1.6067502510.1%
 
0.609165608910.1%
 
-1.28252530110.1%
 
-0.721336603210.1%
 
-1.09110641510.1%
 
-0.466443538710.1%
 
-0.690835952810.1%
 
-0.887317299810.1%
 
-0.364568799710.1%
 
1.71999144610.1%
 
0.666634976910.1%
 
0.308284372110.1%
 
-0.641242623310.1%
 
0.541629314410.1%
 
-0.940065443510.1%
 
-0.559205114810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75898313510.1%
 
-1.75727355510.1%
 
-1.75163805510.1%
 
-1.75001537810.1%
 
-1.74599003810.1%
 
-1.74583399310.1%
 
-1.74333381710.1%
 
-1.74003851410.1%
 
-1.73672008510.1%
 
-1.73620569710.1%
 
ValueCountFrequency (%) 
1.72015416610.1%
 
1.71999144610.1%
 
1.71981692310.1%
 
1.71974122510.1%
 
1.7145347610.1%
 
1.71407079710.1%
 
1.70863568810.1%
 
1.70751178310.1%
 
1.70604515110.1%
 
1.70086407710.1%
 

oz22
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.2635719031095504e-09
Minimum-1.7317736148834229
Maximum1.7078174352645874
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:27.192664image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.731773615
5-th percentile-1.539207917
Q1-0.8743046224
median0.01427575806
Q30.848922804
95-th percentile1.563369805
Maximum1.707817435
Range3.43959105
Interquartile range (IQR)1.723227426

Descriptive statistics

Standard deviation0.9999999998
Coefficient of variation (CV)-791407277.5
Kurtosis-1.207248822
Mean-1.263571903e-09
Median Absolute Deviation (MAD)0.8657569275
Skewness-0.01603091455
Sum-1.263571903e-06
Variance0.9999999995
2020-08-25T00:15:27.297660image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.30859303510.1%
 
-1.38403773310.1%
 
-1.52474534510.1%
 
0.582684099710.1%
 
-1.13410711310.1%
 
-1.25129175210.1%
 
0.000941385340410.1%
 
1.47002899610.1%
 
-0.446606904310.1%
 
0.619775116410.1%
 
-1.68875932710.1%
 
-1.28640925910.1%
 
1.29029631610.1%
 
0.555526018110.1%
 
1.29028999810.1%
 
0.813111662910.1%
 
1.6144511710.1%
 
-0.0581895075710.1%
 
-0.0197333153310.1%
 
-1.21996343110.1%
 
-0.188138663810.1%
 
-0.637318432310.1%
 
-1.61838316910.1%
 
-0.000716812210210.1%
 
-0.87549328810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.73177361510.1%
 
-1.72924625910.1%
 
-1.72769999510.1%
 
-1.72339427510.1%
 
-1.72311854410.1%
 
-1.72095274910.1%
 
-1.71334290510.1%
 
-1.71096754110.1%
 
-1.7050532110.1%
 
-1.70180547210.1%
 
ValueCountFrequency (%) 
1.70781743510.1%
 
1.70514500110.1%
 
1.70446693910.1%
 
1.70215904710.1%
 
1.69818234410.1%
 
1.69717824510.1%
 
1.69639527810.1%
 
1.68915414810.1%
 
1.68868577510.1%
 
1.68833327310.1%
 

oz19
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5408407964278014e-09
Minimum-1.759355545043945
Maximum1.688843846321106
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:27.413413image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.759355545
5-th percentile-1.558586138
Q1-0.8688867539
median0.0008993436732
Q30.8698276877
95-th percentile1.544406253
Maximum1.688843846
Range3.448199391
Interquartile range (IQR)1.738714442

Descriptive statistics

Standard deviation0.9999999987
Coefficient of variation (CV)393570506.3
Kurtosis-1.217301953
Mean2.540840796e-09
Median Absolute Deviation (MAD)0.8700135936
Skewness-0.02171530062
Sum2.540840796e-06
Variance0.9999999973
2020-08-25T00:15:27.519027image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.97851365810.1%
 
-0.300145119410.1%
 
0.418322622810.1%
 
-0.933562636410.1%
 
-0.825004816110.1%
 
-1.72796249410.1%
 
0.0109754353810.1%
 
1.39201915310.1%
 
-0.522178769110.1%
 
1.67716610410.1%
 
-0.0434741452310.1%
 
0.346048802110.1%
 
-0.915746748410.1%
 
-1.58731663210.1%
 
-1.19326710710.1%
 
1.14979565110.1%
 
-1.59114301210.1%
 
-0.253567099610.1%
 
-1.36072695310.1%
 
0.754579901710.1%
 
0.248703077410.1%
 
1.68884384610.1%
 
-0.756528854410.1%
 
0.191727548810.1%
 
-0.561214208610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75935554510.1%
 
-1.75585985210.1%
 
-1.7543224110.1%
 
-1.74456644110.1%
 
-1.73735690110.1%
 
-1.73288154610.1%
 
-1.72989654510.1%
 
-1.72796249410.1%
 
-1.7226562510.1%
 
-1.72130143610.1%
 
ValueCountFrequency (%) 
1.68884384610.1%
 
1.6808649310.1%
 
1.67716610410.1%
 
1.6745028510.1%
 
1.67240548110.1%
 
1.67221951510.1%
 
1.66637587510.1%
 
1.65944850410.1%
 
1.64964628210.1%
 
1.64494085310.1%
 

target
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.9959559217095375e-11
Minimum-2.5317552089691158
Maximum3.705542087554932
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:15:27.635912image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.531755209
5-th percentile-1.804522032
Q1-0.6483782083
median0.1507963762
Q30.6998896301
95-th percentile1.350702494
Maximum3.705542088
Range6.237297297
Interquartile range (IQR)1.348267838

Descriptive statistics

Standard deviation0.9999999959
Coefficient of variation (CV)-2.502530097e+10
Kurtosis0.08591461189
Mean-3.995955922e-11
Median Absolute Deviation (MAD)0.6312868819
Skewness-0.1564885534
Sum-3.995955922e-08
Variance0.9999999919
2020-08-25T00:15:27.740776image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.20703005810.1%
 
1.43104338610.1%
 
-0.308945000210.1%
 
0.795622825610.1%
 
-0.83859151610.1%
 
-0.390974789910.1%
 
1.12608730810.1%
 
0.229665383710.1%
 
-1.35408496910.1%
 
-0.0030513759710.1%
 
-1.15221536210.1%
 
2.61032795910.1%
 
0.725281238610.1%
 
0.283543735710.1%
 
0.688178420110.1%
 
0.863558232810.1%
 
-0.916667044210.1%
 
-1.56384348910.1%
 
-0.795590460310.1%
 
-0.16862411810.1%
 
0.65105730310.1%
 
-0.0466723181310.1%
 
0.91535377510.1%
 
-1.77165806310.1%
 
1.40366387410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-2.53175520910.1%
 
-2.45332980210.1%
 
-2.32345867210.1%
 
-2.29104018210.1%
 
-2.24184060110.1%
 
-2.23966550810.1%
 
-2.23675537110.1%
 
-2.23125076310.1%
 
-2.21979975710.1%
 
-2.21539688110.1%
 
ValueCountFrequency (%) 
3.70554208810.1%
 
3.45752096210.1%
 
3.24949169210.1%
 
3.12433123610.1%
 
3.0740377910.1%
 
3.04371666910.1%
 
2.9725718510.1%
 
2.75563073210.1%
 
2.75453782110.1%
 
2.61032795910.1%
 

Interactions

2020-08-25T00:14:15.651830image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:15.813403image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:15.973648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:16.126606image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:16.290717image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:16.453140image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:16.614953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:16.775640image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:16.939549image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:17.100558image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:17.262252image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:17.419571image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:17.586536image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:17.747498image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:17.911348image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:18.221815image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:18.386295image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:18.545682image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:18.710748image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:18.876142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:19.034995image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:19.195117image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:19.353681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:19.510431image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:19.679338image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:19.839997image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:20.005898image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:20.168110image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:20.329345image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:20.491536image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:20.651792image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:20.809108image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:20.974225image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:21.139355image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:21.303896image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:21.465461image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:21.628128image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:21.790102image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:21.955865image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:22.126911image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:22.288384image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:22.441310image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:22.590403image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:22.730943image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:23.042832image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:23.191326image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:23.340210image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:23.491550image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:23.641296image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:23.791142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:23.947860image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:24.093493image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:24.243080image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:24.393384image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:24.547283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:24.697031image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:24.849444image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:25.016115image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:25.161640image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:25.311799image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:25.463605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:25.623475image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:25.783361image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:25.935730image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:26.100700image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:26.266694image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:26.429360image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:26.598845image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:26.759430image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:26.917786image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:27.084439image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:27.239787image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:27.400491image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:27.565133image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:27.884893image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:28.045843image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:28.206607image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:28.367763image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:28.531874image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:28.694975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:28.854950image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:29.019481image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:29.191719image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:29.346025image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:29.509077image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:29.675248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:29.836885image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:29.997880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:30.157044image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:30.316545image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:30.477207image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:30.634943image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:30.795283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:30.955522image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:31.121744image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:31.278863image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:31.441184image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:31.611304image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:31.773298image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:31.933886image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:32.102255image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:32.263406image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:32.423292image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:32.740329image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:32.901268image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:33.085436image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:33.251516image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:33.411714image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:33.570398image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:33.739066image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:33.899945image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:34.056460image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:34.221949image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:34.393256image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:34.557200image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:34.723709image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:34.884613image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:35.046586image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:35.208459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:35.370798image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:35.530080image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:35.695131image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:35.854767image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:36.009222image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:36.173659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:36.334938image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:36.501755image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:36.669560image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:36.831023image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:36.991227image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:37.150441image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:37.308293image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:37.631603image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:37.806141image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:37.966167image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:38.122281image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:38.282788image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:38.442581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:38.603405image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:38.766049image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:38.927814image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:39.090465image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:39.254077image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:39.410801image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:39.574050image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:39.741344image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:39.902692image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:40.062941image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:40.223704image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:40.386404image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:40.550383image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:40.701608image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:40.858321image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:41.015555image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:41.176303image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:41.336934image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:41.497770image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:41.657821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:41.821621image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:41.981616image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:42.140220image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:42.467556image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:42.628975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:42.783130image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:42.944300image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:43.104627image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:43.272420image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:43.435231image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:43.596401image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:43.769128image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:43.941387image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:44.097182image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:44.259271image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:44.423158image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:44.583790image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:44.747063image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:44.910466image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:45.072636image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:45.231085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:45.395853image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:45.555113image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:45.713283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:45.877557image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:46.031986image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:46.193238image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:46.355310image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:46.516355image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:46.683598image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:46.847350image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:47.009581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:47.335635image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:47.491589image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:47.658095image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:47.822127image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:47.982763image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:48.141637image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:48.304283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:48.473368image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:48.633759image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:48.795004image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:48.960208image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:49.115337image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:49.269508image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:49.416045image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:49.571533image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:49.726872image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:49.885453image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:50.045433image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:50.201152image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:50.358121image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:50.517139image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:50.665585image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:50.819639image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:50.976329image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:51.134145image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:51.288579image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:51.446291image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:51.601994image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:51.756769image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:52.077070image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:52.231273image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:52.394010image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:52.554172image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:52.706676image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:52.871874image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:53.036326image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:53.199844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:53.363069image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:53.525490image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:53.688586image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:53.849279image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:54.007226image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:54.170419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:54.331158image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:54.493193image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:54.656730image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:54.816935image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:54.981244image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:55.145716image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:55.307386image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:55.467209image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:55.627087image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:55.788487image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:55.941555image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:56.103070image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:56.264650image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:56.425409image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:56.592392image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:56.946972image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:57.113203image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:57.287254image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:57.447329image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:57.618989image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:57.831336image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:57.994100image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:58.155520image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:58.315507image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:58.480155image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:58.645648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:58.810366image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:58.969734image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:59.133154image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:59.294490image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:59.447026image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:59.610601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:59.770980image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:14:59.931610image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:00.097874image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:00.261058image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:00.421918image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:00.586299image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:00.748688image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:00.915533image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:01.077522image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:01.232893image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:01.389749image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:01.553309image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:01.887923image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:02.050683image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:02.223148image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:02.394208image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:02.554140image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:02.712808image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:02.870674image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:03.030290image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:03.191659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:03.350310image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:03.510210image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:03.673328image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:03.834250image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:03.994576image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:04.149414image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:04.314025image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:04.477640image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:04.645019image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:04.801514image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:04.962625image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:05.120386image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:05.284727image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:05.442994image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:05.620388image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:05.781567image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:05.941939image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:06.094293image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:06.256578image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:06.417856image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:06.746975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:06.907846image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:07.068042image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:07.232446image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:07.392210image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:07.551552image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:07.715738image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:07.877126image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:08.037751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:08.201773image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:08.362875image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:08.527403image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:08.694570image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:08.861993image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:09.023065image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:09.185605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:09.349650image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:09.508187image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:09.670447image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:09.838281image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:09.999562image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:10.161336image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:10.328463image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:10.502861image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:10.665670image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:10.823569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:10.985271image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:11.146308image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:11.308676image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:11.631260image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:11.791901image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:11.953602image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:12.116936image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:12.278844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:12.438791image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:12.599506image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:12.760417image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:12.911937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:13.077290image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:13.238484image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:13.400132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:13.567063image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:13.730725image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:13.907938image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:14.070524image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:14.227023image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:14.389799image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:14.551179image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:14.715887image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:14.876354image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:15.037989image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:15.198624image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:15.362139image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:15.521235image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:15.683289image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:15.848137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:16.011276image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:16.163131image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:16.488137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:16.648826image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:16.810828image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:16.986567image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:17.145942image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:17.307894image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:17.469916image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:17.626652image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:17.788669image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:17.953206image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:18.115748image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:18.277016image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:18.441610image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:18.608358image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:18.771124image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:18.942162image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:19.100883image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:19.259754image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:19.419933image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:19.570578image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:19.730136image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:19.891939image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:20.055160image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:20.215898image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:20.374341image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:20.536673image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:20.695899image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:20.849570image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:21.013009image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:21.331876image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:21.494394image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:21.654270image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:21.816175image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:21.981210image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:22.142628image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:22.302505image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:15:27.887997image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:15:28.346577image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:15:28.662114image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:15:28.965706image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:15:22.607990image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:15:23.074128image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
0-1.065593-0.210703-1.3395061.125713-1.2016991.141746-0.844523-0.438671-0.5369381.305990-0.5811610.112894-0.506099-0.005308-0.9773880.952771-1.008030-0.612321-0.8201300.511010
11.0794781.614950-1.767639-1.5521290.6361091.2383860.910959-1.3667940.150224-0.834288-1.184992-1.6031661.4401160.033345-1.189340-0.0089180.849606-0.058190-1.322504-0.204623
20.391211-1.079044-0.8487020.170938-1.361148-1.5869260.764886-1.4630251.082481-0.236573-0.971741-0.6235981.723914-0.177812-0.9802010.6952930.676874-1.050873-0.2234260.011547
31.234644-0.3344710.727795-1.531121-1.2957901.255870-0.9090091.236427-0.337289-0.2748910.2221440.877143-0.051778-0.037466-0.0752781.0204321.450877-1.5017800.425716-1.889543
4-1.3150990.6016040.0745470.0220160.938102-0.489836-0.6859220.395462-0.7891740.522745-0.253212-0.7802250.892908-1.158339-0.036438-1.7969821.099088-0.6809831.137645-0.332221
50.2367460.9449020.8982071.3875841.619527-0.4267891.1869671.4338830.822891-0.028781-0.867892-1.130792-0.407742-1.118899-0.7867411.558964-0.5759381.3358960.600912-1.058824
6-0.637114-0.779172-0.5786201.573993-1.3938800.0042090.417012-0.4998601.3816710.6579580.001788-0.667104-0.505885-1.041003-0.6361560.560416-0.737372-0.537658-1.3522380.263181
71.411376-1.760160-1.070299-0.436728-0.4734800.2409451.063559-0.777851-1.3151320.2850490.095256-1.1411660.3176121.411301-0.441065-0.0986080.739397-1.2223720.7353471.227618
80.243825-1.226487-1.194044-0.7353140.3108260.7827261.456532-1.148411-1.638865-1.249328-0.328056-0.0376741.1211510.010342-0.9321471.042698-1.154668-0.910959-0.583142-0.174637
90.5088821.4593810.551259-0.8001011.343925-0.401987-0.4664120.496074-0.729569-0.7507971.161997-0.618769-0.6387130.7580030.865080-0.066323-0.750422-0.1592430.416662-0.935289

Last rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
990-0.746312-0.0744550.133061-1.229907-1.280486-1.313771-1.128072-0.0809011.4477160.712381-0.368721-0.4042570.679797-1.212785-0.3980260.3665250.7139460.271242-1.6253030.221877
9911.137500-1.173577-0.4178121.1942270.7504021.392591-1.477258-0.6299881.4199830.170838-0.2346951.2779220.1367011.513940-0.930029-1.2833271.6413130.229224-0.7528471.169526
9920.5187761.5756460.214624-1.1523330.105855-0.7149680.3467650.141172-1.1732231.360721-2.023260-1.017720-0.903811-1.674384-1.626975-0.587797-1.2737941.066542-0.8947560.091991
9931.589195-1.2637551.2251451.022696-0.755315-1.317258-1.1403211.6141261.332857-0.8709131.8251510.550566-0.1253740.7394232.1367531.5556731.222712-0.801767-0.9065641.158960
9941.1086490.8453470.554778-0.909925-0.388558-1.4081920.4758790.118580-0.749780-1.6020770.4513990.6907520.8791600.0776410.6255840.5400880.0444370.2177690.676617-0.252121
995-1.7069541.248566-1.273996-1.541008-1.6417810.6959740.497269-1.735959-1.569790-1.336432-0.7508780.3285701.524538-1.597543-1.064921-0.598404-0.557410-0.5691750.074793-1.182748
9961.654811-1.055835-0.372317-1.466751-0.922556-1.5221170.134696-1.480376-0.9261090.352677-0.7548441.0229471.473370-0.275479-0.7071350.1193390.823942-1.5569781.170782-0.078676
9971.6052711.2608050.907822-1.041753-0.510616-0.9990160.0584150.633794-0.212214-0.8813420.8020621.7351911.6085630.3095470.8741141.496716-0.458286-1.507318-0.751760-1.561739
998-0.8448960.1751941.963695-0.403642-0.1932760.743674-0.2255351.747733-0.490779-1.0302872.117564-0.1669351.7296540.5016593.1741351.2550820.4522251.2684191.4139641.978250
999-0.299065-0.115740-0.558597-0.1782960.717824-0.9198611.066622-1.1743750.3630790.762843-0.9198571.493062-1.389575-0.392682-0.8606380.2529631.205848-0.153825-1.6794890.035932